Differentially Private Data Cubes: Optimizing Noise Sources and Consistency
Summary: DP data cubes: compute a small initial cuboid set with DP noise, then infer the rest from it. NP-hard to pick starter cuboids; polytime method with (ln|L|+1)^2-approx for max noise and (1-1/e)-approx for precise cuboids, plus consistency gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bolin Ding (University of Illinois Urbana-Champaign)
- 2. Marianne Winslett (Advanced Digital Sciences Center; University of Illinois Urbana-Champaign)
- 3. Jiawei Han (University of Illinois Urbana-Champaign)
- 4. Zhenhui Li (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{ding_sigmod11,
title = {{Differentially Private Data Cubes: Optimizing Noise Sources and Consistency}},
author = {Ding, Bolin and Winslett, Marianne and Han, Jiawei and Li, Zhenhui},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989347},
url = {https://dl.acm.org/doi/10.1145/1989323.1989347},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 24 of 24 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031639377 |
| 130 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00030604781 |
| 338 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00020731054 |
| 757 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00014306168 |
| 1,074 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.0001230007 |
| 1,295 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00011272398 |
| 2,255 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8595313e-05 |
| 3,753 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.1505817e-05 |
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